Articolul precedent |
Articolul urmator |
313 6 |
Ultima descărcare din IBN: 2023-06-20 12:04 |
Căutarea după subiecte similare conform CZU |
631.1:005 (1) |
Farm management and organization (488) |
Management (1894) |
SM ISO690:2012 AMARFII-RAILEAN, Nelli. Corelația dintre managementul bazat pe instrumente digitale și performanța întreprinderilor din sectorul agrico. In: Sustenabilitatea: îmbunătățirea produselor destinate consumatorilor și planetei, 11 noiembrie 2021, Chişinău. Chisinau, Republica Moldova: Centrul Editorial-Poligrafic al USM, 2021, pp. 22-28. ISBN 978-9975-155-58-8. |
EXPORT metadate: Google Scholar Crossref CERIF DataCite Dublin Core |
Sustenabilitatea: îmbunătățirea produselor destinate consumatorilor și planetei 2021 | ||||||
Simpozionul "Sustenabilitatea: îmbunătățirea produselor destinate consumatorilor și planetei" Chişinău, Moldova, 11 noiembrie 2021 | ||||||
|
||||||
CZU: 631.1:005 | ||||||
JEL: M1, Q1 | ||||||
Pag. 22-28 | ||||||
|
||||||
Descarcă PDF | ||||||
Rezumat | ||||||
The low economic performance of the agricultural sector is determined by a predominant traditional management model of business in conjunction with unfavorable macroeconomic factors and the dependence on climatic conditions. International experience shows that as a result of digital tools application and of management models specific to Industry 4.0, agricultural enterprises show significant increases in their activity and as a result the intensive development of agriculture. The aim of this research is to determine the rating of agricultural enterprises based on the multidimensional benchmarking model by identifying the correlation between management efficiency and financial results. Using the method of aggregate indicators, we determined the efficiency of the production factors, in order to identify the business development model (intensive or extensive), adopted by the analyzed enterprises and the correlative relationship between economic performance and management model. |
||||||
Cuvinte-cheie financial performance, agricultural enterprises, benchmarking model, aggregative indicators, business development model |
||||||
|